activity
20172022
most citedWeakly-supervised DCNN for RGB-D Object Recognition in Real-World Applications Which Lack Large-scale Annotated Training Data

107 citations · 260 across the 10 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2021★ 2 cited

EventPoint: Self-Supervised Interest Point Detection and Description for Event-based Camera

Ze Huang, Li Sun, Cheng Zhao +2

This paper proposes a self-supervised learned local detector and descriptor, called EventPoint, for event stream/camera tracking and registration. Event-based cameras have grown in…

cs.CV2017★ 38 cited

SPP-Net: Deep Absolute Pose Regression with Synthetic Views

Pulak Purkait, Cheng Zhao, Christopher Zach

Image based localization is one of the important problems in computer vision due to its wide applicability in robotics, augmented reality, and autonomous systems. There is a rich s…

cs.CV2017★ 4 cited

Dense RGB-D semantic mapping with Pixel-Voxel neural network

Cheng Zhao, Li Sun, Pulak Purkait +1

For intelligent robotics applications, extending 3D mapping to 3D semantic mapping enables robots to, not only localize themselves with respect to the scene's geometrical features…

cs.CV2017★ 107 cited

Weakly-supervised DCNN for RGB-D Object Recognition in Real-World Applications Which Lack Large-scale Annotated Training Data

Li Sun, Cheng Zhao, Rustam Stolkin

This paper addresses the problem of RGBD object recognition in real-world applications, where large amounts of annotated training data are typically unavailable. To overcome this p…

cs.CV2017★ 47 cited

A fully end-to-end deep learning approach for real-time simultaneous 3D reconstruction and material recognition

Cheng Zhao, Li Sun, Rustam Stolkin

This paper addresses the problem of simultaneous 3D reconstruction and material recognition and segmentation. Enabling robots to recognise different materials (concrete, metal etc.…